明尼苏达州东北部和罗亚尔岛国家公园的野生动物中未发现 SARS-CoV-2 病毒。

IF 2.4 2区农林科学 Q3 INFECTIOUS DISEASES Zoonoses and Public Health Pub Date : 2024-06-09 DOI:10.1111/zph.13162

David Castañeda, Edmund J. Isaac, Benjamin P. Schnieders, Todd Kautz, Mark C. Romanski, Seth A. Moore, Matthew T. Aliota

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引用次数: 0

摘要

目的：我们调查了明尼苏达州东北部大波蒂奇印第安保留地和罗亚尔岛国家公园中自由活动的野生动物种群中是否存在 SARS-CoV-2 病毒：在 2022-2023 年期间，对白尾鹿、驼鹿、灰狼和黑熊进行了监测，并收集了 120 份鼻腔样本。使用疾控中心 N1/N2 引物集通过 RT-qPCR 对样本进行病毒 RNA 检测。我们的数据表明，没有野生动物样本的 SARS-CoV-2 RNA 呈阳性：因此，继续监测对于更好地了解上中西部地区人畜共患病 SARS-CoV-2 的变化情况至关重要。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Absence of SARS-CoV-2 in wildlife of northeastern Minnesota and Isle Royale National Park

Aims

We investigated the presence of SARS-CoV-2 in free-ranging wildlife populations in Northeastern Minnesota on the Grand Portage Indian Reservation and Isle Royale National Park.

Methods and Results

One hundred twenty nasal samples were collected from white-tailed deer, moose, grey wolves and black bears monitored for conservation efforts during 2022–2023. Samples were tested for viral RNA by RT-qPCR using the CDC N1/N2 primer set. Our data indicate that no wildlife samples were positive for SARS-CoV-2 RNA.

Conclusions

Continued surveillance is therefore crucial to better understand the changing landscape of zoonotic SARS-CoV-2 in the Upper Midwest.

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来源期刊

Zoonoses and Public Health 医学-传染病学

CiteScore

5.30

自引率

4.20%

发文量

115

审稿时长

6-12 weeks

期刊介绍： Zoonoses and Public Health brings together veterinary and human health researchers and policy-makers by providing a venue for publishing integrated and global approaches to zoonoses and public health. The Editors will consider papers that focus on timely collaborative and multi-disciplinary research in zoonoses and public health. This journal provides rapid publication of original papers, reviews, and potential discussion papers embracing this collaborative spirit. Papers should advance the scientific knowledge of the sources, transmission, prevention and control of zoonoses and be authored by scientists with expertise in areas such as microbiology, virology, parasitology and epidemiology. Articles that incorporate recent data into new methods, applications, or approaches (e.g. statistical modeling) which enhance public health are strongly encouraged.